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Paper Citation Record · LEDGER

Survival Analysis as Imprecise Classification with Trainable Kernels

As of 16 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2506.10140.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.10140 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:39:39.291155Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

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External citation measurements

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Outbound references

Observation cca6fd58-c043-4d06-848a-107b9349e746 · outbound

This paper cites Hosmer, S.

Survival Analysis as Imprecise Classification with Trainable Kernels Hosmer, S

Reference 1

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Observation 4e843e33-601e-4420-b139-b103a228f432 · outbound

This paper cites A deep survival analysis method based on ranking.

Survival Analysis as Imprecise Classification with Trainable Kernels A deep survival analysis method based on ranking

Reference 2

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Observation 2cfa0449-91da-4b0a-b7eb-e72d34b4db59 · outbound

This paper cites Deep learning-based survival analysis for high-dimensional survival data.

Survival Analysis as Imprecise Classification with Trainable Kernels Deep learning-based survival analysis for high-dimensional survival data

Reference 3

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Observation a68d709d-d8bf-4592-8fca-8b5eb37c241d · outbound

This paper cites Lee and J.W.

Survival Analysis as Imprecise Classification with Trainable Kernels Lee and J.W

Reference 4

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Observation 2ccc1a77-5113-4d15-aa79-096d30242289 · outbound

This paper cites Hothorn, P.

Survival Analysis as Imprecise Classification with Trainable Kernels Hothorn, P

Reference 5

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Observation 852489ab-83f9-4f15-8233-3d55667112a0 · outbound

This paper cites Wrobel, A.

Survival Analysis as Imprecise Classification with Trainable Kernels Wrobel, A

Reference 6

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This paper cites DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values.

Survival Analysis as Imprecise Classification with Trainable Kernels DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values

Reference 7

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Observation f01bac06-ef42-4228-85d7-c59632c542ad · outbound

This paper cites Tutorial on survival modeling with applications to omics data.

Survival Analysis as Imprecise Classification with Trainable Kernels Tutorial on survival modeling with applications to omics data

Reference 8

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This paper cites Marinos and D.

Survival Analysis as Imprecise Classification with Trainable Kernels Marinos and D

Reference 9

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Survival Analysis as Imprecise Classification with Trainable Kernels Unresolved cited work

Reference 10

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This paper cites Deep learning for survival analysis: a review.

Survival Analysis as Imprecise Classification with Trainable Kernels Deep learning for survival analysis: a review

Reference 11

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Observation 6fdec6af-ef1e-4686-8d0f-71b3b29b6221 · outbound

This paper cites Ishwaran and U.B.

Survival Analysis as Imprecise Classification with Trainable Kernels Ishwaran and U.B

Reference 12

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This paper cites Van Belle, K.

Survival Analysis as Imprecise Classification with Trainable Kernels Van Belle, K

Reference 13

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This paper cites An introduction to deep survival analysis models for predicting time-to-event outcomes.

Survival Analysis as Imprecise Classification with Trainable Kernels An introduction to deep survival analysis models for predicting time-to-event outcomes

Reference 14

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This paper cites Arroyo, A.

Survival Analysis as Imprecise Classification with Trainable Kernels Arroyo, A

Reference 15

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This paper cites Transformer-based deep survival analysis.

Survival Analysis as Imprecise Classification with Trainable Kernels Transformer-based deep survival analysis

Reference 16

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This paper cites Hierarchical transformer for sur- vival prediction using multimodality whole slide images and genomics.

Survival Analysis as Imprecise Classification with Trainable Kernels Hierarchical transformer for sur- vival prediction using multimodality whole slide images and genomics

Reference 17

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This paper cites Adaptive transformer modelling of density function for nonparametric survival analysis.

Survival Analysis as Imprecise Classification with Trainable Kernels Adaptive transformer modelling of density function for nonparametric survival analysis

Reference 18

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This paper cites Kaplan and P.

Survival Analysis as Imprecise Classification with Trainable Kernels Kaplan and P

Reference 19

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Survival Analysis as Imprecise Classification with Trainable Kernels Unresolved cited work

Reference 20

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This paper cites Survival kernets: Scalable and interpretable deep kernel survival analysis with an accuracy guarantee.

Survival Analysis as Imprecise Classification with Trainable Kernels Survival kernets: Scalable and interpretable deep kernel survival analysis with an accuracy guarantee

Reference 21

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This paper cites Sparse kernel methods for high-dimensional survival data.

Survival Analysis as Imprecise Classification with Trainable Kernels Sparse kernel methods for high-dimensional survival data

Reference 22

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This paper cites A review on smoothing methods for the estimation of the hazard rate based on kernel functions.

Survival Analysis as Imprecise Classification with Trainable Kernels A review on smoothing methods for the estimation of the hazard rate based on kernel functions

Reference 23

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This paper cites Cawley, N.L.C.

Survival Analysis as Imprecise Classification with Trainable Kernels Cawley, N.L.C

Reference 24

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This paper cites Kernel cox regression models for linking gene expression profiles to censored survival data.

Survival Analysis as Imprecise Classification with Trainable Kernels Kernel cox regression models for linking gene expression profiles to censored survival data

Reference 25

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This paper cites Kernel cox partially linear regression: Building predictive models for cancer patients’ survival.

Survival Analysis as Imprecise Classification with Trainable Kernels Kernel cox partially linear regression: Building predictive models for cancer patients’ survival

Reference 26

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Survival Analysis as Imprecise Classification with Trainable Kernels Weighted functional linear cox regression model

Reference 27

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Survival Analysis as Imprecise Classification with Trainable Kernels Unresolved cited work

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Survival Analysis as Imprecise Classification with Trainable Kernels Tutz and M

Reference 29

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This paper cites Survival prediction models: an introduc- tion to discrete-time modeling.

Survival Analysis as Imprecise Classification with Trainable Kernels Survival prediction models: an introduc- tion to discrete-time modeling

Reference 30

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Survival Analysis as Imprecise Classification with Trainable Kernels Continuous and discrete-time survival prediction with neural networks

Reference 31

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Survival Analysis as Imprecise Classification with Trainable Kernels Survival analysis as a classification problem

Reference 32

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Survival Analysis as Imprecise Classification with Trainable Kernels Nadaraya

Reference 33

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Reference 34

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Observation 9aabe6fc-5106-4389-aafd-71a0e73ce06d · outbound

This paper cites Luong, H.

Survival Analysis as Imprecise Classification with Trainable Kernels Luong, H

Reference 35

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This paper cites Vaswani, N.

Survival Analysis as Imprecise Classification with Trainable Kernels Vaswani, N

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:35.643200Z digest=sha256:14d8dd28a77b1ce7eb76a80e21ab278cf1301abbf9f46562120bf53a06c27e66

Observation e05d15e4-ebfd-47e4-9a99-c3dadc872da5 · outbound

This paper cites Kvamme, O.

Survival Analysis as Imprecise Classification with Trainable Kernels Kvamme, O

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:44.982743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:35.775462Z digest=sha256:9436e1c63de65c841c60650a367a44c069154cc6a21a8f71df03b37a8e4ac48f

Observation f48ab0c7-016e-4191-8909-911bd0ee5ae4 · outbound

This paper cites an unresolved cited work.

Survival Analysis as Imprecise Classification with Trainable Kernels Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:39:44.728607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:35.945597Z digest=sha256:d4ceed4824563533e3c700cdcf03f79713900e50d44672b15f36b24d4f56265c

Observation 2fd7c49a-9ce0-4d09-ab8f-edac067444aa · outbound

This paper cites Coolen and K.J.

Survival Analysis as Imprecise Classification with Trainable Kernels Coolen and K.J

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:44.529817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 134f9d46-a65c-4bb7-a116-926526c26b1f · outbound

This paper cites Mangili, A.

Survival Analysis as Imprecise Classification with Trainable Kernels Mangili, A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:44.268461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:36.216466Z digest=sha256:5b79eddb7d82f80273423332e2298993b8b07df48928c79b37b8a7c63dcbf866

Observation 844cd99e-efc3-448f-84d2-09190d27aeac · outbound

This paper cites Explainable survival analysis with uncertainty using convolution- involved vision transformer.

Survival Analysis as Imprecise Classification with Trainable Kernels Explainable survival analysis with uncertainty using convolution- involved vision transformer

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:44.157845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:36.378603Z digest=sha256:c2a26a2c8e3f237ea411af81c376f419e3861cf09ce1218e767c1530a0b65ed7

Observation 36c1407d-8844-42e1-a53b-d8347cb7f95b · outbound

This paper cites Resdeepsurv: A survival model for deep neural networks based on residual blocks and self-attention mechanism.

Survival Analysis as Imprecise Classification with Trainable Kernels Resdeepsurv: A survival model for deep neural networks based on residual blocks and self-attention mechanism

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:44.057140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:36.496772Z digest=sha256:7bb3f7c3222767cad221160c92abf03ecb2613e53651b02656e4dbf642d39c02

Observation c1343211-0a59-4b33-b3fd-6aa993801510 · outbound

This paper cites High-dimensional survival analysis: Methods and applications.

Survival Analysis as Imprecise Classification with Trainable Kernels High-dimensional survival analysis: Methods and applications

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:43.927024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:36.646547Z digest=sha256:f3802934045e517c70a5a7fe6020f66ef1d8a161edfa6460a3af51f5993ba356

Observation e309c136-a46d-410f-932a-0e71816f3081 · outbound

This paper cites A general machine learning framework for survival analysis.

Survival Analysis as Imprecise Classification with Trainable Kernels A general machine learning framework for survival analysis

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:43.801349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:36.833730Z digest=sha256:08402885e5ed968bf96dc2b8adefec967db99143d5f4a979a65052b2dec1254d

Observation 761c4d39-d323-46dd-84f4-5daa394c446c · outbound

This paper cites Emmert-Streib and M.

Survival Analysis as Imprecise Classification with Trainable Kernels Emmert-Streib and M

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:43.605571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:36.969546Z digest=sha256:08eb10a5067f337b588a9d0c9672286579c03c31819c91ad22d4736381647ff8

Observation 6d750dfb-2fbb-4ba4-913d-4dd952cc197b · outbound

This paper cites Deep kernel survival analysis and subject-specific survival time prediction intervals.

Survival Analysis as Imprecise Classification with Trainable Kernels Deep kernel survival analysis and subject-specific survival time prediction intervals

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:43.432923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:37.123093Z digest=sha256:8eafd2d5df655c3536f83f48bc2aeaf7c0bfd0dd841230a5ea42981bbcf56ed4

Observation f2f4d982-b048-4514-a1ec-a63b40aaa350 · outbound

This paper cites Deep gated neural network with self-attention mechanism for survival analysis.

Survival Analysis as Imprecise Classification with Trainable Kernels Deep gated neural network with self-attention mechanism for survival analysis

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:43.160932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:37.277082Z digest=sha256:cf3395034ecc975dce470efe82d772a1910ab5593f79fe2f052f7fb4d8386d35

Observation e1aa2d26-acee-41a8-b179-7eaa087fb45d · outbound

This paper cites Survtrace: Transformers for survival analysis with competing events.

Survival Analysis as Imprecise Classification with Trainable Kernels Survtrace: Transformers for survival analysis with competing events

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:42.936437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:37.394984Z digest=sha256:445548978e1ac95b1bf6b37440c3e8a8fab8bc5518a3bc8cf3859d2957d67768

Observation e6f5c260-9ec8-438e-9b60-9cf03337f1e3 · outbound

This paper cites Mhattnsurv: Multi-head attention for survival prediction using whole-slide pathology images.

Survival Analysis as Imprecise Classification with Trainable Kernels Mhattnsurv: Multi-head attention for survival prediction using whole-slide pathology images

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:42.778651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:37.509034Z digest=sha256:aa04fdb828f76f654e638fa73f0a9e20fb113d0eebc711934de542f052c8c43d

Observation b3b49c16-5ec3-4c77-a35c-206ba80860d4 · outbound

This paper cites A semi-supervised transformer survival prediction model for lung cancer.

Survival Analysis as Imprecise Classification with Trainable Kernels A semi-supervised transformer survival prediction model for lung cancer

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:42.590961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:37.601369Z digest=sha256:73b8054bbdaa7d1b330b67f7c6311165aa258df7d926fd2282388c5bed8bed47

Observation 18eb97c9-6279-4152-b959-6a5af2adf0c0 · outbound

This paper cites Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images.

Survival Analysis as Imprecise Classification with Trainable Kernels Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:42.376294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:37.713072Z digest=sha256:2bee0e8630d6c0c116d739f74a99918a997daba1c41916f6b172c344ad3e93ac

Observation 72dd4240-9a3c-41ff-b7f5-c1494f5a43cf · outbound

This paper cites A multi-head attention trans- former framework for oesophageal cancer survival prediction.

Survival Analysis as Imprecise Classification with Trainable Kernels A multi-head attention trans- former framework for oesophageal cancer survival prediction

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:42.253629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:37.841528Z digest=sha256:b72b2aa06203fe8248b2704672ddffd62e8dce05e7f3781721904abe84b61dea

Observation e400b411-b999-4c84-ab1c-f4b56f4bd515 · outbound

This paper cites De finetti’s theorem, induction, and a (n) or bayesian nonparametric predictive inference (with discussion).

Survival Analysis as Imprecise Classification with Trainable Kernels De finetti’s theorem, induction, and a (n) or bayesian nonparametric predictive inference (with discussion)

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:42.006414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:37.966344Z digest=sha256:16d6e166e8040e71a560affa32e231669ea8e976d777de7700047462a2322848

Observation 448b05fe-050b-4062-aaeb-455d1a6cfc5c · outbound

This paper cites an unresolved cited work.

Survival Analysis as Imprecise Classification with Trainable Kernels Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:39:41.865164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:38.092011Z digest=sha256:5c1732727c1c45766256939f034aec727707b0c933af2e54cc38ce762c22a22b

Observation 9dc1ee53-b3ed-4185-b73b-6f4003a90ee6 · outbound

This paper cites Harrell, R.

Survival Analysis as Imprecise Classification with Trainable Kernels Harrell, R

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:41.673098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:38.188450Z digest=sha256:4a9d723b622e3c172b3b0d054693998e7fdc663a1a5f29d3113561d145a812b9

Observation f61a66da-9073-4004-88d3-be3896daf640 · outbound

This paper cites an unresolved cited work.

Survival Analysis as Imprecise Classification with Trainable Kernels Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:39:41.500723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:38.316920Z digest=sha256:6e9300847e09372eb0a4f75ba5fb75709f0e59f7a765077f75a12f69f12df283

Observation c2ee8ad2-2a18-4e01-81a6-499bf18981e9 · outbound

This paper cites Uno, Tianxi Cai, M.J.

Survival Analysis as Imprecise Classification with Trainable Kernels Uno, Tianxi Cai, M.J

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:41.273932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:38.438626Z digest=sha256:30a16b106c16a10d9ac991650ef131712c8cd0194dcee8dfee6e920af271b036

Observation cbd28059-f663-40cd-b232-f39bf7fcbc6a · outbound

This paper cites an unresolved cited work.

Survival Analysis as Imprecise Classification with Trainable Kernels Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:39:40.947212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:38.584835Z digest=sha256:b80349198ff6037674e6fd8b49c7b66b4c8940c1720a85adfd3a8a881fb6eacc

Observation aeb91c78-bb3f-45e4-bc33-ce8d231001b0 · outbound

This paper cites an unresolved cited work.

Survival Analysis as Imprecise Classification with Trainable Kernels Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:39:40.736908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:38.685243Z digest=sha256:900f2258650ce78e248fb69460c8a6f7b194040b978d855196106752c24905ae

Observation 0a964474-44e5-431b-a4fc-d468eaacaf38 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Survival Analysis as Imprecise Classification with Trainable Kernels Neural Machine Translation by Jointly Learning to Align and Translate

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T04:39:38.785624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:38.785624Z digest=sha256:2ad9bb3651918d513d77b7541d261239aab0635b8099f50312f086de54228be4

Observation 2fef620d-8f66-4def-98bd-deea32f7e9c1 · outbound

This paper cites Rubinstein and D.P.

Survival Analysis as Imprecise Classification with Trainable Kernels Rubinstein and D.P

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:40.550047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:38.920832Z digest=sha256:6b5e785efc6bda8bb2678cdff1cab93c11ae24f579d088130a7a9d5ddc67b66a

Observation 566ae7bc-f2c3-4e1b-81fc-eaa73b340296 · outbound

This paper cites Smith and R.W.

Survival Analysis as Imprecise Classification with Trainable Kernels Smith and R.W

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:40.355412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:39.083502Z digest=sha256:f86cdab6e49c4f4e68ee1cb403a7ebaf5c6dcd469595b6828d39b0bd7c6e85ff

Observation fe5966e4-6402-4add-b2aa-4b6735f1dd85 · outbound

This paper cites Akiba, S.

Survival Analysis as Imprecise Classification with Trainable Kernels Akiba, S

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:40.127790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:39.161212Z digest=sha256:9d728fec200549c1f583ddb8d1a3abfccfeb1acb6bda112e46f2e9b9fa9658f5

Observation 603d64bc-4dfa-4622-a160-05a5284eb9d1 · outbound

This paper cites survival.

Survival Analysis as Imprecise Classification with Trainable Kernels survival

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:39.981800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:39.291155Z digest=sha256:9a3ee26440ff7fce27e7b716201f3ac8c5a92246eceae21ddfa564c19f0f1506

Pith citing papers

No inbound Pith citation observations are available.